Which Factors Unexpectedly Increase Depressive Symptom Severity in Patients at the End of a Cardiac Rehabilitation
Saeid Komasi1, Mozhgan Saeidi1, Nafiseh Montazeri2
1Cardiac Rehabilitation Center, Imam ALI Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Insights
Lower education and smoking predict worsening depression in cardiac rehabilitation (CR) patients. Identifying these individuals allows for targeted interventions to manage depression during CR programs.
Area of Science:
- Cardiology
- Psychiatry
- Public Health
Background:
- Cardiac rehabilitation (CR) is crucial for cardiovascular patient recovery.
- Depression is a common comorbidity that can negatively impact CR outcomes.
- Predicting and managing depression during CR is essential for patient well-being.
Purpose of the Study:
- To identify predictors of increased depressive symptoms at the conclusion of a cardiac rehabilitation program.
- To inform targeted interventions for depression management in CR patients.
Main Methods:
- Retrospective analysis of administrative data from 615 CR patients.
- Data collected from a heart hospital in Iran between January 2000 and January 2010.
- Binary logistic regression analysis used to identify significant predictors.
Main Results:
- 10.7% of patients experienced aggravated depressive symptoms post-CR.
- Lower education level (p<0.05) and smoking (p<0.01) were significant predictors of depression aggravation.
- Model variables explained 6% to 13% of the variance in depressive symptoms.
Conclusions:
- Patients with lower educational attainment and those who smoke are at higher risk for depression aggravation during CR.
- Proactive identification and intervention for these patient groups can help prevent or manage depression.
- Further research should explore additional variables influencing depression in CR settings.
Objective:
To investigate predictors of depressive symptom aggravation at the end of a cardiac rehabilitation (CR) program.
Methods:
The design of the study was retrospective. The administrative data were obtained from the database of the CR department of a heart hospital in Iran. The demographic and clinical information of 615 CR patients between January 2000 and January 2010 was analyzed using binary logistic regression analysis.
Results:
The results showed that 10.7% of the patients completed the CR program with aggravated depressive symptoms. After adjustment for gender, age, and pre-intervention depression score, lower education level (p<0.05) and smoking (p<0.01) were significant predictors of increased depressive symptoms at the end of the program. Our model variables could explain 6% to 13% of the dependent variable variance.
Conclusion:
The results suggest that targeting patients who are less literate or who smoke could allow for taking the required measures to prevent or control depression at the end of a CR program. It is suggested that future studies consider other variables.
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